F95: Using Robotics to Build Operational Resilience & Collaboration

  • Room: B309
Wednesday, November 09, 2022: 10:00 AM - 11:30 AM


*This conference session requires registration and payment.

Optimizing Your Robot Deployments to Help Solve the Labor Shortage
The key success factor in the manufacturing and logistics industries is rate – how do you do things faster, better, and more efficiently, without paying for more employees? Over the next decade, 4.6 million manufacturing jobs will likely be needed, and at least 2.4 million of them are expected to go unfilled. That is why robots are so important. But industrial optimization is hard. Optimizing your operations for effective robot deployment isn’t as easy as purchasing and hitting the “go” button. There are several actions that should be taken to streamline and optimize your deployments, including: better simulation tools (enable better facility mapping out/planning so you use more of available space); collision avoidance technology (being aware of surroundings); monitoring and alerting systems (alerting to issues before they happen); and enabling multi-task programming within your robots (speeding redeployment and limiting cycle times).
Matt Somerville - Realtime Robotics

Robot Autonomy as an Operating System
Autonomous robots are advancing at breakneck speed, but the access to autonomous robotic functions and the ability to build systems is still limited to a select group of specialists. By identifying the right capabilities, manufacturing engineers and system integrators can use autonomous operating systems to design, scope and implement their own autonomous robotic systems. This requires a fundamental vision component, along with AI-based processing methodologies to allow for real-time autonomous function in unstructured environments. Fundamentally, these toolkits offload the certainty required of traditional robotic automation to AI and machine vision components that greatly increase the scope and flexibility of systems that can be deployed with existing industrial robotics hardware. Ultimately, these capabilities need to be simplified to maximize adoption of autonomous robots, but such steps are essential to overcoming the continuing labor shortage and continuing to grow the productivity of domestic manufacturing in a complex global environment.
Francois Simard - Omnirobotic

A Closer Look at a Safety-Certified Vision System for Human-Robot Collaboration
Using Power and Force Limited (PFL) robots for safe human collaboration can mean sacrificing speed and payloads. An alternative approach is leveraging Computer-vision powered Speed and Separation Monitoring (SSM) to enable fully powered industrial robots to work safely alongside humans and streamline industrial operations. SSM systems can make industrial robots aware of their environments, creating new opportunities for human-robot collaboration in manufacturing. SSM works by calculating and abiding by a Protective Separation Distance (PSD) at all times, meaning that when moving, the robot system always stays at least this distance away from any volume of space that could be occupied by a person or object. If the PSD is violated, the robot system stops, and when the PSD is reestablished, the system can restart. Patrick Sobalvarro, CEO and Co-founder of Veo Robotics, will offer a deep dive into the technology that enables SSM-specific applications for safe and effective human-robot collaboration.
Patrick Sobalvarro - Veo


Francois Simard
Matt Somerville
Realtime Robotics
Patrick Sobalvarro


  • Intermediate
  • NEW